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26 Results
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Workshop
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Sun 15:30 |
Scaling-laws for Large Time-series Models JUSTIN ALSING · Thomas Edwards · Benjamin Wandelt · James Alvey · Nam Nguyen |
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Workshop
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Uncertainty Quantification From Scaling Laws in Deep Neural Networks Ibrahim Elsharkawy · Yonatan Kahn · Benjamin Hooberman |
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Workshop
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Sun 11:20 |
Distributional Scaling Laws for Emergent Capabilities Rosie Zhao · Naomi Saphra · Sham Kakade |
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Workshop
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Information-Theoretic Foundations for Neural Scaling Laws Hong Jun Jeon · Benjamin Van Roy |
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Poster
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Wed 11:00 |
Scaling Law for Time Series Forecasting Jingzhe Shi · Qinwei Ma · Huan Ma · Lei Li |
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Poster
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Wed 11:00 |
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations Alex Hägele · Elie Bakouch · Atli Kosson · Loubna Ben allal · Leandro Von Werra · Martin Jaggi |
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Workshop
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Does equivariance matter at scale? Johann Brehmer · Sönke Behrends · Pim de Haan · Taco Cohen |
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Poster
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Fri 11:00 |
Observational Scaling Laws and the Predictability of Langauge Model Performance Yangjun Ruan · Chris Maddison · Tatsunori Hashimoto |
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Poster
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Fri 16:30 |
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data Alexander Havrilla · Wenjing Liao |
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Workshop
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Scaling Generative Tabular Learning for Large Language Models Yiming Sun · Xumeng Wen · Shun Zheng · Xiaowei Jia · Jiang Bian |
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Poster
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Thu 11:00 |
Dimension-free deterministic equivalents and scaling laws for random feature regression Leonardo Defilippis · Bruno Loureiro · Theodor Misiakiewicz |
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Workshop
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Skywork-Math: Data Scaling Laws for Mathematical Reasoning in LLMs — The Story Goes On Liang Zeng · Liangjun Zhong |